A simple pytest plugin to run tests concurrently

Matlab codes to automated tuning of denoising algorithms in liquid chromatography

Code for Hutch++: Optimal Stochastic Trace Estimation

Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"

Implementation of PSplines in Python

Generate Python stub files from docstrings

Sphinx extension for automatic generation of an example gallery

Floating-point aware doctesting

Run your GitHub Actions locally 🚀

The state-of-the-art method for denoising 1D signals

Revisiting Whittaker-Henderson Smoothing

BEADS baseline correction algorithm for (chemical) chromatograms - C++ implementation derived from X. Ning and L. Duval http://www.sciencedirect.com/science/article/pii/S0169743914002032?via%3Dihub

BEADS: Baseline Estimation And Denoising w/ Sparsity Python version

BEADS: Baseline Estimation And Denoising w/ Sparsity Python version

SciPy library main repository

A fast Python package specialised on solving banded linear systems

baseline subtraction algorithms including ALS-based (ALS, psalsa and derpsalsa), morphological and wavelet-based

A collection of background subtraction algorithms for spectroscopic data

Home for GSAS-II: crystallographic and diffraction-based structural characterization of materials

Lloyd iteration for generating approximately equally spaced points in a given region

Constrained Lloyd Iteration for distributing 2D points

Sparse matrix tools extending scipy.sparse, but with incompatible licenses

Nightscout version of xDrip+

SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python

pyMCR: Multivariate Curve Resolution for Python

hyperSpec: Tools for Spectroscopy (R package)

R package baseline